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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures
Fabian Jirasek, Hans Hasse
Annual Review of Chemical and Biomolecular Engineering (2023) Vol. 14, Iss. 1, pp. 31-51
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Non-fitting functional representation for the equilibrium constant subject to reaction between H2S and CO2
Chao-Wen Wang, Ji Li, Liehui Zhang, et al.
Fuel (2024) Vol. 362, pp. 130916-130916
Closed Access | Times Cited: 14
Prediction of Electrical Conductivity of Ionic Liquids: From COSMO-RS Derived QSPR Evaluation to Boosting Machine Learning
Zixin Chen, Jiahui Chen, Yuxin Qiu, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 17, pp. 6648-6658
Closed Access | Times Cited: 8
Unified non-fitting explicit formulation of thermodynamic properties for five compounds
Guan-Hong Liu, Qun-Chao Ding, Chao-Wen Wang, et al.
Journal of Molecular Structure (2023) Vol. 1294, pp. 136543-136543
Closed Access | Times Cited: 16
Gibbs–Duhem-informed neural networks for binary activity coefficient prediction
Jan G. Rittig, Kobi Felton, Alexei A. Lapkin, et al.
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1752-1767
Open Access | Times Cited: 15
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview
André Nicolle, Sili Deng, Matthias Ihme, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 597-620
Closed Access | Times Cited: 6
Determination of Gas–Oil minimum miscibility pressure for impure CO2 through optimized machine learning models
Chenyu Wu, Lu Jin, Jin Zhao, et al.
Geoenergy Science and Engineering (2024) Vol. 242, pp. 213216-213216
Closed Access | Times Cited: 6
A GROUP CONTRIBUTION-BASED MACHINE LEARNING MODEL TO ESTIMATE THE TRIPLE-POINT TEMPERATURE
V. Villazón-León, Rosa Elba Sánchez Suárez, Adrián Bonilla‐Petriciolet, et al.
Fluid Phase Equilibria (2025), pp. 114395-114395
Closed Access
A novel formulation representation regarding the equilibrium constant subject to reaction between N2 and O2
Jianfeng Wang, Hao Zhang, L. Liang, et al.
Computational and Theoretical Chemistry (2024) Vol. 1239, pp. 114758-114758
Closed Access | Times Cited: 4
Unified analytical formulation regarding thermodynamic properties subject to gaseous metal hydroxides
Qun-Chao Ding, Chao-Wen Wang, Xiaolong Peng, et al.
Journal of Molecular Structure (2023) Vol. 1298, pp. 137075-137075
Closed Access | Times Cited: 11
Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
David A. Winkler, A.E. Hughés, Can Özkan, et al.
Progress in Materials Science (2024), pp. 101392-101392
Open Access | Times Cited: 3
Thermodynamics-consistent graph neural networks
Jan G. Rittig, Alexander Mitsos
Chemical Science (2024)
Open Access | Times Cited: 2
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
Thomas Specht, Mayank Nagda, Sophie Fellenz, et al.
Chemical Science (2024) Vol. 15, Iss. 47, pp. 19777-19786
Open Access | Times Cited: 2
HybridGamma: A thermodynamically consistent framework for hybrid modelling of activity coefficients
Ulderico Di Caprio, Jan Degrève, Peter Hellinckx, et al.
Chemical Engineering Journal (2023) Vol. 475, pp. 146104-146104
Open Access | Times Cited: 5
Hybrid data-driven and physics-based modeling for viscosity prediction of ionic liquids
Jing Fan, Zhengxing Dai, Jian Cao, et al.
Green Energy & Environment (2024) Vol. 9, Iss. 12, pp. 1878-1890
Open Access | Times Cited: 1
Deep-learning-based acceleration of critical point calculations
Vishnu Jayaprakash, Huazhou Li
Chemical Engineering Science (2024) Vol. 298, pp. 120371-120371
Open Access | Times Cited: 1
CALiSol-23: Experimental electrolyte conductivity data for various Li-salts and solvent combinations
Paolo de Blasio, Jonas Elsborg, Tejs Vegge, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A novel molecular-structure-based formulation representation for the H2S decomposition reaction equilibrium constant
Jingjing Guo, Qun-Chao Ding, Chun‐Sheng Jia, et al.
Energy (2024), pp. 134108-134108
Closed Access | Times Cited: 1
Phase equilibrium in canonical cubic structure I (sI) and II (sII) and hexagonal (sH) gas hydrate solid solutions
Peter Englezos
Fluid Phase Equilibria (2023) Vol. 578, pp. 114005-114005
Closed Access | Times Cited: 3
Accelerating high order solvers using unsupervised clustering
Kheir-Eddine Otmani
(2024)
Open Access
An improved physical information network for forecasting the motion response of ice floes under waves
Xiao Peng, Chunhui Wang, Guihua Xia, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access
Machine Learning Models for Vapor-Liquid Equilibrium of Binary Mixtures: State of the Art and Future Opportunities
Gabriel Y. Ottaiano, Tiago Dias Martins
Process Safety and Environmental Protection (2024)
Closed Access
Elemental diffusion coefficient prediction in conventional alloys using machine learning
Arjun S. Kulathuvayal, Yi Rao, Yanqing Su
Chemical Physics Reviews (2024) Vol. 5, Iss. 4
Open Access
Cascades of scales: Applications and mathematical methodologies
Luigi Delle Site, Rupert Klein, Maria Lukáčová-Medviďová, et al.
Journal of Mathematical Physics (2024) Vol. 65, Iss. 12
Open Access
Development of a Helmholtz free energy equation of state for fluid and solid phases via artificial neural networks
Gustavo Chaparro, Erich A. Müller
Communications Physics (2024) Vol. 7, Iss. 1
Open Access
Prediction of Temperature-Dependent Henry’s Law Constants by Matrix Completion
Nicolas Hayer, Hans Hasse, Fabian Jirasek
The Journal of Physical Chemistry B (2024) Vol. 129, Iss. 1, pp. 409-416
Closed Access
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